Math and Computer Science Teachers, Postsecondary jobs in Massachusetts

Harvard University

Position

Details

Title	Fellow: Reinforcement Learning for Large Scale Foundation Model Post-Training
School	Harvard John A. Paulson School of Engineering and Applied Sciences
Department/Area	Computer Science
Position Description	We invite applications for a Fellow to work with Assistant Professor Kiant Brantley at Harvard SEAS. The lab’s research focuses on improving the capabilities of foundation models using reinforcement learning—from theory to practice. This position will emphasize largescale reinforcement learning for posttraining, studying both practical and theoretical issues pertaining to posttraining techniques. Successful candidates must be able to work as part of a team performing research to support the project. Additional responsibilities include preparing publications and reports, mentoring graduate students, and collaborating with other groups. Successful candidates will be self-motivated, have a strong work ethic, be technically skilled, and have strong oral and written skills. Start dates are flexible, but the positions will be filled as soon as possible and will initially be for 6 months, renewable for an additional 6 months following performance review and funding availability.
Basic Qualifications	BA/BS in computer science, applied physics, applied math, or a related discipline.
Additional Qualifications	Individuals with a demonstrated track record in scientific research, which can be evidenced through publications, technical reports, or impactful software projects.
Special Instructions	A complete application must include a curriculum vitae, 2–5 letters of reference, 2 publication samples, and a 1–2page research statement. In your cover letter, please also address the following supplemental questions: (1) What sorts of projects would you like to carry out in the lab? (2) What are your greatest strengths, and what areas would you like to improve?
Contact Information	Anana Charles, Faculty Coordinator
Contact Email	acharles@seas.harvard.edu
Salary Range	$50,000 – $70,000 Pay offered to the selected candidate is dependent on factors such as rank, years of experience, training or qualification, field of scholarship, and accomplishments in the field.
Minimum Number of References Required	2
Maximum Number of References Allowed	3
Keywords	Machine Learning Reinforcement Learning Foundational Models Post-Training Large Language Models

EEO/Non-Discrimination Commitment Statement

Harvard University is committed to equal opportunity and non-discrimination. We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvard’s academic purposes.

Harvard has an equal employment opportunity policy that outlines our commitment to prohibiting discrimination on the basis of race, ethnicity, color, national origin, sex, sexual orientation, gender identity, veteran status, religion, disability, or any other characteristic protected by law or identified in the university’s non-discrimination policy. Harvard’s equal employment opportunity policy and non-discrimination policy help all community members participate fully in work and campus life free from harassment and discrimination.

Supplemental Questions

Required fields are indicated with an asterisk (*).

Applicant Documents

Required Documents

Curriculum Vitae
Cover Letter
Statement of Research
Publication
Publication 2
List of References

Optional Documents

Publication 3

Fellow: Reinforcement Learning for Large Scale Foundation Model Post-Training

Fellow: Reinforcement Learning for Large Scale Foundation Model Post-Training

Lecturer, Computer Information Systems

Visiting Assistant Professor of Practice, MAST

Postdoctoral Fellowship in Computer Science - Procaccia Lab

Postdoctoral Fellowship in Computer Science - Procaccia Lab

Assistant Professor of Computer IT - Cybersecurity

Assistant Professor, Cybersecurity (Tenure Track)

Postdoctoral Fellow in Statistics

Postdoctoral Fellowship in Differentially Private Learning and Replicability

Adjunct Faculty, Mathematics (PR)

Adjunct Faculty Mathematics

Graduate & Continuing Ed Programs in STEM Adjunct Faculty - Framingham State University

McNair Quantitative Reasoning Instructor Spring 2026

Adjunct Lecturer, Computer Information Systems (Pooled Posting)

Postdoctoral Fellowship Position in Visual Computing at Harvard University

Postdoctoral position in AI for Engineering Applications

Tenure-Track Faculty in Computer Science - Framingham State University

Fellow: Reinforcement Learning for Large Scale Foundation Model Post-Training at Harvard University – Cambridge, Massachusetts

Explore Related Opportunities

About This Position

Scan to Apply

Job Location

Frequently asked questions about this position